Integrated reanalysis of global riverine fish eDNA datasets

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Authors: Yan Zhang, Heng Zhang, Hiroshi D. Akashi, Camille Albouy, Kara Andres, José Barquín, Jeanine Brantschen, Richard Connon, JOSEPH CRAINE, Deirdre Gleeson, Alejandra Goldenberg‐Vilar, Alexia María González-Ferreras
+38 more Chelsea Hatzenbuhler, Kamil Hupało, Josephine Hyde, Wataru Iwasaki, Mark Johnson, Aron D. Katz, Vyacheslav Kuzovlev, Courtney Larson, Laurène A. Lecaudey, Florian Leese, Matthieu Leray, Feilong Li, Till‐Hendrik Macher, Quentin Mauvisseau, María Morán-Luis, Georgia Nester, Helio Quintero, Tsilavina Ravelomanana, Merin Reji Chacko, Mattia Saccò, Naiara Sales, Tamara Schenekar, Martin Schletterer, Saskia Schmidt, Nicholas O. Schulte, Robin Schütz, Jinelle H. Sperry, Emma Stevens, Sarah A. Stinson, Steven Weiss, Fei Xia, Hui Zhang, S T Zhang, Wenjun Zhong, Shuo Zong, Loïc Pellissier, Xiaowei Zhang, Florian Altermatt
Cited by: 1

Abstract

Environmental DNA (eDNA) has revolutionized biodiversity monitoring in aquatic ecosystems. One of its possible hallmarks is the potential global comparability of datasets, yet this opportunity has been largely left unexplored due to diverse sampling protocols and bioinformatic workflows. This dataset compiles and harmonizes riverine fish community data derived from environmental DNA (eDNA) metabarcoding studies conducted worldwide. In total, this dataset comprises 58 riverine fish eDNA metabarcoding datasets from 1,818 sampling sites, comprising both published and novel datasets with the goal of assessing and comparing biodiversity patterns from the individual original studies with a unified analysis under a common bioinformatic pipeline. We thereby demonstrate the power of integrating individual eDNA metabarcoding datasets for biodiversity assessment and monitoring.

Publication details

Journal / source
DRYAD
Publication date
10 April 2026
Language
EN
Document type
Dataset